INTRODUCTION
What is an LLM?
A Large Language Model is an AI system trained on vast amounts of text to understand, generate, and reason with human language.
How LLMs Work
Training Data
Billions of web pages, books, articles
→
Pattern Learning
Neural networks find statistical patterns
→
Understanding
Contextual meaning & relationships
→
Generation
Coherent, context-aware responses
Neural Network Architecture
Tokenization: Breaking Text into Chunks
"The cat sat on the mat"
"The"
" cat"
" sat"
" on"
" the"
" mat"
Pattern Recognition
LLMs learn statistical patterns from massive datasets, understanding grammar, facts, and reasoning styles without explicit programming.
Context Awareness
Using attention mechanisms, LLMs weigh the importance of different words in relation to each other, maintaining coherence.
Probabilistic Output
LLMs predict the next token based on probability distributions, generating human-like text through iterative sampling.